
Olostep is a web data API for AI agents that need the actual page, not a search snippet. Paste a URL and choose Scrape, Crawl, Map, Search or Answer. You get back Markdown, HTML, JSON or a screenshot, with JavaScript rendered and residential IPs behind it, and you only pay when a request works. The same tools come as a REST API, a command-line tool and MCP, so Cursor or Claude Code can fetch a page without you pasting HTML into the chat. The trial gives you 500 successful requests with no card. Starter is $9 a month for 5,000. It's a plain API, so there's no chatbot to talk to and no browser to babysit. If the scraper you already pay for works, keep it. Olostep is for when your agent keeps failing because a page is built in JavaScript and a simple fetch comes back empty.
Sooner or later every coding agent tries to read the web with a basic request and hopes for the best. That works on a simple docs site. It fails on the pages that matter, the ones rendered with JavaScript, blocked by region or split across many pages. Olostep's bet is that "web data for AI" should be five simple commands and an MCP config, not another crawling platform that comes with a sales engineer.
That's a different job from Skydive, a cloud coworker with its own computer, and from BrowserOS neo, a local browser your agent drives. Olostep doesn't drive a browser. It hands back the page.
If Firecrawl, or the scraper built into your agent setup, already gives you clean Markdown and the $9 plan doesn't tempt you, you don't need it. Ignore the "trusted by startups" logo row, which tells you nothing. The open question is how well it holds up on difficult pages and how its speed compares with Firecrawl on the same URL. The trial needs no card, so run both against the page that actually broke your agent before you put either one on a schedule.